Spike, a RISC-V ISA Simulator

This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

[CVPR 2023] DepGraph: Towards Any Structural Pruning

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Python - 100天从新手到大师

FSL-Mate: A collection of resources for few-shot learning (FSL).

Caffe for Sparse Convolutional Neural Network

Submanifold sparse convolutional networks

Tensors and Dynamic neural networks in Python with strong GPU acceleration

VGG16 models for CIFAR-10 and CIFAR-100 using Keras

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

The examples of image recognition with the dataset CIFAR10 via tensorflow.

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

RTL, Cmodel, and testbench for NVDLA

Caffe: a fast open framework for deep learning.

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

Models and examples built with TensorFlow